AI ML in Biology & Bioinformatics Summer Training Program - March 2024
Your Instructor
![BioTecNika](https://fedora.teachablecdn.com/assets/user-0ae68ba67e6ead32c4ff1cc668d501f896bddd5ef1667ac3e9ff29ce601ed653.png)
Course Curriculum
Getting Started
Available in
days
days
after you enroll
Recorded Sessions
Available in
days
days
after you enroll
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StartDay 1 18/03/2024 Overview of Artificial Intelligence (AI) and Machine Learning (ML) Introduction to Biology & Bioinformatics applications of AI/ML (71:23)
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StartDay 2 19/03/2024 Importance and significance of AI/ML in biological research Types of ML algorithms and their relevance in Biology & Bioinformatics (71:02)
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StartDay 3 20/03/2024 Overview of supervised learning algorithms Applications of supervised learning in Biology & Bioinformatics (e.g., sequence classification, protein structure prediction) (64:03)
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StartDay 4 21/03/2024 Clustering algorithms for biological data analysis (e.g., gene expression clustering) (74:48)
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StartDay 5 22/03/2024 Dimensionality reduction techniques (e.g., Principal Component Analysis) and their applications Unsupervised learning applications in Biology & Bioinformatics (77:19)
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StartDay 6 - 26/03/2024 Introduction to Deep Learning and Neural Networks (61:48)
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StartDay 7 27/03/2024 Convolutional Neural Networks (CNNs) for biological analysis Recurrent Neural Networks (RNNs) for sequence data analysis (60:03)
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StartDay 8 28/03/2024 Explore Python coding (60:19)
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StartDay 9 29/03/2024 Data cleaning techniques for biological data Handling missing data in bioinformatics datasets Data normalization and transformation methods Feature selection and dimensionality reduction techniques in bioinformatics (65:39)
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StartDay 10 01/04/2024 Applications of AI/ML in Multi-omics, Genomics (72:48)
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StartDay 11 02/04/2024 Applications of AI/ML in Proteomics and Drug Discovery Protein structure prediction techniques: AI-based modeling, AlphaFold etc (63:53)
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StartDay 12 03/04/2024 Practical Sessions using GitHub repository Hands-on exercises using relevant tools and datasets. (47:33)
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StartDay 13 04/04/2024 Practical Sessions using GitHub repository Hands-on exercises using relevant tools and datasets. (59:26)
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StartDay 14 05/04/2024 Practical Sessions using GitHub repository Hands-on exercises using relevant tools and datasets. (58:12)
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StartDay 15 09/04/2024 Practical Sessions using GitHub repository Hands-on exercises using relevant tools and datasets. (30:36)
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StartTest Link
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Start10th April 2024 (57:52)
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Start11th April 2024 (75:38)
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Start12th April 2024 (57:06)
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Start15th April 2024 (57:30)
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Start16th April 2024 (60:00)
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Start17th April 2024 (61:13)
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Start18th April 2024 (59:25)
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Start19th April 2024 (91:01)
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Start22th April 2024 (58:14)
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Start23rd April 2024 (76:33)
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Start24th April 2024 (56:16)
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Start25th April 2024 (43:22)
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Start26th April 2024 (37:08)
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Start29th April 2024 (53:19)
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Start30th April 2024 (37:24)
Frequently Asked Questions
When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.